pytorch_wavelets
Pytorch implementation of 2D Discrete Wavelet (DWT) and Dual Tree Complex Wavelet Transforms (DTCWT) and a DTCWT based ScatterNet (by fbcotter)
WaveDiff
Official Pytorch Implementation of the paper: Wavelet Diffusion Models are fast and scalable Image Generators (CVPR'23) (by VinAIResearch)
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| pytorch_wavelets | WaveDiff | |
|---|---|---|
| 1 | 1 | |
| 857 | 326 | |
| - | 6.7% | |
| 0.0 | 5.4 | |
| 9 months ago | 3 months ago | |
| Python | Python | |
| GNU General Public License v3.0 or later | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pytorch_wavelets
Posts with mentions or reviews of pytorch_wavelets.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-12-01.
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How to create a docker environment for model use?
git clone https://github.com/fbcotter/pytorch_wavelets
WaveDiff
Posts with mentions or reviews of WaveDiff.
We have used some of these posts to build our list of alternatives
and similar projects.
-
This AI Paper Introduces a Novel Wavelet-Based Diffusion Framework that Demonstrates Superior Performance on both Image Fidelity and Sampling Speed
Quick Read: https://www.marktechpost.com/2023/03/31/this-ai-paper-introduces-a-novel-wavelet-based-diffusion-framework-that-demonstrates-superior-performance-on-both-image-fidelity-and-sampling-speed/ Paper: https://arxiv.org/pdf/2211.16152.pdf Github: https://github.com/VinAIResearch/WaveDiff
What are some alternatives?
When comparing pytorch_wavelets and WaveDiff you can also consider the following projects:
pywt - PyWavelets - Wavelet Transforms in Python
3.eeg_recognation - Machine learning for Anonymous detection of an alcoholic by EEG signals
cog - Containers for machine learning
ssqueezepy - Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
custom-diffusion - Custom Diffusion: Multi-Concept Customization of Text-to-Image Diffusion (CVPR 2023)
mish-cuda - Mish Activation Function for PyTorch
mish-cuda - Mish Activation Function for PyTorch
RePaint - Official PyTorch Code and Models of "RePaint: Inpainting using Denoising Diffusion Probabilistic Models", CVPR 2022
mmgeneration - MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.